🧠 Behavioral Analytics

Detect Threats That Rules Can Never Catch

ZonForge Sentinel's behavioral analytics engine builds a unique behavioral model for every user and entity in your environment — detecting subtle anomalies that signature-based detection completely misses.

UEBA Built Into Every Detection

ZonForge's User and Entity Behavior Analytics (UEBA) engine is integrated directly into the detection and investigation workflow — not a bolt-on module.

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Per-Entity Behavioral Baselines

ZonForge builds individual behavioral profiles for every user, service account, and IP — establishing what "normal" looks like for each specific entity rather than applying generic thresholds.

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Multi-Dimensional Anomaly Detection

Behavioral models consider login times, geographies, accessed resources, data volumes, API call patterns, and peer group comparisons — detecting complex anomalies across multiple dimensions simultaneously.

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Time-Based Pattern Analysis

ZonForge detects time-based anomalies — logins at unusual hours, access outside business patterns, sudden after-hours data transfers — that rule-based systems don't have thresholds for.

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Cross-Source Behavior Correlation

User behavior is tracked across all connected sources simultaneously — so a user accessing AWS at the same time as logging into Okta from a different country triggers an immediately correlated alert.

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Peer Group Analysis

ZonForge compares each user's behavior against their peer group — detecting privilege abuse when someone behaves differently from others in the same role or department.

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Continuous Model Adaptation

Behavioral models adapt continuously — adjusting baselines for seasonal changes, role changes, and legitimate behavioral shifts — reducing false positives as your environment evolves.

See Behavioral Analytics in Action

Book a demo and see ZonForge's behavioral analytics detect real anomalies in your environment.